mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 30 May 2021

91 papers

  1. Cascaded Diffusion Models for High Fidelity Image GenerationDiffusion models → Diffusion foundations and sampling
  2. EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network
  3. Deep Hierarchical Super Resolution for Scientific Data
  4. Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality
  5. Neural Models for Offensive Language Detection
  6. High Performance Hyperspectral Image Classification using Graphics Processing Units
  7. Institutionalising Ethics in AI through Broader Impact Requirements
  8. Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
  9. Pattern Discovery in Time Series with Byte Pair Encoding
  10. A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
  11. Dynamic-Deep: Tune ECG Task Performance and Optimize Compression in IoT Architectures
  12. A Compression-Compilation Framework for On-mobile Real-time BERT Applications
  13. DikpolaSat Mission: Improvement of Space Flight Performance and Optimal Control Using Trained Deep Neural Network -- Trajectory Controller for Space Objects Collision Avoidance
  14. Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations
  15. Quantum Federated Learning with Quantum Data
  16. Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices
  17. Sharper bounds for online learning of smooth functions of a single variable
  18. Empirical Models for Multidimensional Regression of Fission Systems
  19. Generating Adversarial Examples with Graph Neural Networks
  20. Shaped Policy Search for Evolutionary Strategies using Waypoints
  21. DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows
  22. LEAP: Learnable Pruning for Transformer-based Models
  23. ℓ2-norm Flow Diffusion in Near-Linear Time
  24. Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
  25. Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery
  26. Identity and Attribute Preserving Thumbnail Upscaling
  27. Power and Performance Efficient SDN-Enabled Fog Architecture
  28. On the geometry of generalization and memorization in deep neural networks
  29. HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
  30. Sparse Uncertainty Representation in Deep Learning with Inducing Weights
  31. Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits
  32. Polygonal Point Set Tracking
  33. StyTr2: Image Style Transfer with Transformers
  34. Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences
  35. Embedding Principle of Loss Landscape of Deep Neural Networks
  36. Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures
  37. How effective are Graph Neural Networks in Fraud Detection for Network Data?
  38. Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks
  39. Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
  40. Robust Dynamic Network Embedding via Ensembles
  41. Diversifying Dialog Generation via Adaptive Label Smoothing
  42. Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
  43. Z2P: Instant Visualization of Point Clouds
  44. Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment
  45. Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"
  46. On the benefits of representation regularization in invariance based domain generalization
  47. Fast Nearest Neighbor Machine Translation
  48. LRTuner: A Learning Rate Tuner for Deep Neural Networks
  49. Parameter Estimation for the SEIR Model Using Recurrent Nets
  50. Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
  51. RFCBF: enhance the performance and stability of Fast Correlation-Based Filter
  52. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
  53. How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
  54. Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
  55. Drop Clause: Enhancing Performance, Interpretability and Robustness of the Tsetlin Machine
  56. Structured Sentiment Analysis as Dependency Graph Parsing
  57. Tesseract: Parallelize the Tensor Parallelism Efficiently
  58. Generating Ten BCI Commands Using Four Simple Motor Imageries
  59. How Attentive are Graph Attention Networks?
  60. Relational Graph Neural Network Design via Progressive Neural Architecture Search
  61. REAMsharp: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation
  62. CLEVE: Contrastive Pre-training for Event Extraction
  63. Pre-training Universal Language Representation
  64. Towards Diverse Paragraph Captioning for Untrimmed Videos
  65. CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System
  66. Determining the Credibility of Science Communication
  67. Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
  68. Approximate Implication with d-Separation
  69. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
  70. Learning Personal Style from Few Examples
  71. NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
  72. A unified logical framework for explanations in classifier systems
  73. Maximizing Parallelism in Distributed Training for Huge Neural Networks
  74. EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network
  75. Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation
  76. NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
  77. TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
  78. Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing
  79. ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX
  80. Gaze Estimation using Transformer
  81. Periodic-GP: Learning Periodic World with Gaussian Process Bandits
  82. VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
  83. Overparameterization of deep ResNet: zero loss and mean-field analysis
  84. An improved LogNNet classifier for IoT application
  85. Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closures
  86. A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
  87. Re-evaluating Word Mover's Distance
  88. Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss
  89. Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking
  90. On the Number of Edges of the Frechet Mean and Median Graphs
  91. SyReNets: Symbolic Residual Neural Networks